Residual-aided CSI-free end-to-end learning for multiuser MIMO

A paradigm shift from Channel State Information (CSI)-dependent architectures to intelligent, AI-native air interfaces is required as 6G wireless systems advance. Conventional Multi-User Multiple-Input Multiple-Output (MU-MIMO) systems have substantial pilot overhead and computational complexity since they rely on explicit CSI for beamforming and interference management. This study suggests a novel Deep Unfolding Successive Over-Relaxation (DU-SOR) paradigm to overcome these constraints. In cont